The Form Recognizer Studio makes it easy to train a custom classifier model in minutes to disambiguate between the different documents your applications need to process. Analyzing all documents of a single type when contained in a file.Splitting a file into multiple documents.Adding the ability to ignore documents based on document class.With the addition of the document classifier models, this is now an explicit capability with a few advantages. Until now, the most effective way to classify and route documents was composing multiple models into a single model for analysis and use an implicit classification capability to route a document to the appropriate component model. What’s new in the latest preview? Document classificationĬommon challenges in document processing workflows are identifying the document type to support conditional routing and splitting a large file into multiple documents. The current Generally Available version of the service is being enhanced with a new set of preview capabilities. Finally, custom models for classifying and extracting fields from document types specific to your scenario or use case. Prebuilt models for extracting a defined schema for a specific document type, examples of prebuilt models include invoice, W-2, ID document and many more. ![]() ![]() With the latest update Form Recognizer now adds new capabilities like document classification, new prebuilt models like the 1098 form (with a few variants) and using Azure OpenAI models to extend field extraction with queries.įorm Recognizer has three categories of models, general extraction models which include Read, Layout and the General document model to extract content structure and fields from a form or document. Form Recognizer is an Applied AI service for all your document understanding needs.
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